ArticleFrontiers in psychiatry2025
The prevalence of smartphone addiction and its related risk factors among Palestinian high school students: a cross-sectional study.
Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Objective and perceived smartphone use volume, addiction risk, and deprivation feelings.Addictive behaviors reports · 2026Article
- Association between problematic smartphone use, loneliness, and risk behaviors among high school students in a conflict-affected setting: A cross-sectional study from Palestine.BMC psychology · 2026Article
- Prevalence of Internet gaming disorder, and its association with aggression, impulsivity and suicide ideation among university students.BMC psychology · 2026Article
- The association between internet gaming disorder, depression, and anxiety among Palestinian university students who play internet games in a conflict-affected region.Frontiers in psychiatry · 2026Article
- Association between energy drink consumption, and substance use among adolescents: a cross sectional study.Frontiers in nutrition · 2025Article
- Smartphone Addiction as a Predictor of Poor Sleep Quality Among Secondary School Students: A School-Based Cross-Sectional Study.SAGE open nursingArticle
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Authors and funding
4 authors.
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Abstract
Background: Smartphone addiction is a significant social and health problem. There is limited research on smartphone addiction in Palestine. The current study aimed to assess the prevalence of smartphone addiction and its association with sociodemographic variables, depression, anxiety, and social support among 12th grade students. Methods: The study utilized a cross-sectional research design. A self-reported questionnaire, including the Smartphone Addiction Scale (SPAS), the OSLO Social Support Scale, and the Hospital Anxiety and Depression Scale (HADS), was used to gather data. Results: A total of 1,083 participants were recruited, of whom 27.3% had depression, 50.5% had anxiety, 57.3% experienced smartphone addiction, and 17.6% had strong social support. The study found that students with weak or moderate teacher relationships (AOR: 2.854, p < 0.001), disrupted sleep with smartphones (AOR: 2.143, p < 0.001), negative impact of smartphone usage on studies (AOR: 3.016, p < 0.001), and poor or weak social support (AOR: 3.051, p < 0.001) were at risk of smartphone addiction. Participants who reported no impact on their sleep time (AOR: 0.478, p-value = 0.001), used smartphones for less than 2 hours daily (AOR: 0.347, p < 0.001), and used smartphones for 2 to 3 hours daily (AOR: 0.684, p = 0.037) were less likely to develop smartphone addiction. Conclusion: Smartphone addiction was prevalent in high school students in this study. Weak teacher relationships, sleep disturbances, negative academic effects, and insufficient social support may lead to smartphone addiction. Programs that educate students, parents, and educators on smartphone addiction can prevent it and help detect and manage smartphone use problems.
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